CRM migration
Field-level mapping, validation, and rollback between Regal.io and HubSpot. We move data and schema; workflows are rebuilt natively in HubSpot.
Regal.io
Source
HubSpot
Destination
Compatibility
11 of 11
objects map 1:1 between Regal.io and HubSpot.
Complexity
BStandard
Timeline
48–72 hours
Overview
Regal.io organizes its data around Contacts, Contact Attributes, and a stream of Events (calls, SMS, custom behavioral events). HubSpot's CRM is built on Contacts, Companies, Deals, and a timeline of Engagements — a fundamentally different schema. FlitStack AI bridges this gap by importing Regal contacts as HubSpot Contacts with their custom attributes migrated as HubSpot custom properties, then logging call and SMS history as HubSpot engagement timeline entries. Event properties that have no HubSpot equivalent (call_queue, regal_journey_id, regal_campaign_id) are stored as HubSpot custom properties for reference and segmentation. We surface Regal's AI agent journeys and SMS templates as exportable documentation for your HubSpot admin to rebuild in HubSpot workflows. Migration runs via Regal's API (https://events.regalvoice.com/events) scoped to read-only access so your team keeps working in Regal throughout cutover, with a 24–48h delta window capturing any in-flight records before the switch. During the import, FlitStack applies field-level validation to ensure required HubSpot properties such as email and phone are present for each contact, and any missing data is flagged for remediation before final sync.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Regal.io object lands in HubSpot, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Regal.io
Contact
HubSpot
Contact
1:1Regal contacts map directly to HubSpot contacts. The primary company_name attribute is resolved against HubSpot company records by domain match or manual mapping, then linked via the Contact's Associated Company field. Any missing company associations are logged for manual review before the final import to avoid orphaned contacts.
Regal.io
Contact Attribute (standard)
HubSpot
Contact Property
1:1Regal standard attributes like first_name, last_name, email, phone, and job_title map to HubSpot's native Contact Properties with the same names. These require no transformation. FlitStack validates each value against HubSpot's property type constraints, ensuring that phone numbers are formatted correctly and email addresses meet RFC standards before import.
Regal.io
Contact Attribute (custom)
HubSpot
Custom Contact Property
1:1Regal custom Contact Attributes (defined per workspace) are created as HubSpot custom properties on the Contact object before import. Data type matching (text, number, date, picklist) is done per attribute during the mapping phase. For picklist attributes, FlitStack maps each Regal value to the corresponding HubSpot picklist option, creating new options if they do not already exist in HubSpot's property definition.
Regal.io
Event (call)
HubSpot
Engagement (call logged on Contact timeline)
1:1Regal call events become HubSpot engagement log entries of type 'Call' on the Contact timeline. Properties like call_duration, outcome, and recording_url map to custom properties on the engagement record. FlitStack also records the original call start time as a custom datetime property, preserving the exact timestamp for reporting and historical analysis.
Regal.io
Event (sms)
HubSpot
Engagement (logged on Contact timeline)
1:1Regal SMS events are logged as HubSpot engagement entries on the Contact timeline. The SMS body text is preserved in a custom property, with direction (inbound/outbound) mapped from Regal's sms_direction field. If the SMS direction is not recognized, FlitStack flags the record for review and defaults to 'outbound' to maintain data consistency.
Regal.io
Event (custom event type)
HubSpot
Custom Behavioral Event
1:1Regal custom Event Types (behavioral events beyond call and SMS) map to HubSpot Custom Behavioral Events. Event Properties are stored as custom event properties in HubSpot's event schema. FlitStack creates a custom event definition in HubSpot for each unique Regal event type, mapping all associated event properties to the corresponding custom fields within the event schema.
Regal.io
Company data in Regal (company_name attribute)
HubSpot
Company
1:1Regal stores company as a text attribute on Contact. Unique company_name values are extracted, deduplicated, and imported as HubSpot Company records. Domain and industry are mapped from Regal company attributes where present. If multiple contacts share the same company name but lack a domain, FlitStack generates a list of potential duplicates for your team to merge manually before final import.
Regal.io
Regal call recording URL
HubSpot
HubSpot File attachment
1:1Regal stores call recordings as hosted URLs in the recording_url event property. FlitStack fetches each recording and re-uploads it as a HubSpot File attached to the relevant Contact record's timeline. During this step, FlitStack verifies the file size and format, converting any non‑standard audio codecs to MP3 to ensure compatibility with HubSpot's file viewer.
Regal.io
Owner / Agent data
HubSpot
HubSpot User
1:1Regal agent IDs and owner assignments are resolved by email match against HubSpot Users. Unmatched agents are flagged for team assignment before the migration runs so no contact lands without a HubSpot owner. If a HubSpot User does not exist for a matched email, FlitStack creates a placeholder user and assigns those contacts temporarily, allowing your admin to reassign ownership post‑migration.
Regal.io
AI agent journey configuration
HubSpot
HubSpot workflow (to be rebuilt)
1:1Regal's Journey Builder configurations (triggers, branching logic, outbound sequences) are not data — they are platform configuration with no HubSpot equivalent. FlitStack exports journey definitions as documentation for the HubSpot admin to rebuild in HubSpot workflows. The exported documentation includes each trigger condition, decision branches, and action steps, providing a clear blueprint for recreating the logic in HubSpot's workflow editor.
Regal.io
SMS template configuration
HubSpot
HubSpot sequence / workflow (to be rebuilt)
1:1Regal SMS templates and branded caller configurations are platform-specific settings that do not export as data. These are surfaced in the migration documentation as items requiring manual rebuild in HubSpot's tools. The documentation lists each template's variables, conditional logic, and fallback routes, enabling your team to replicate the same communication flows using HubSpot's sequence and workflow features.
| Regal.io | HubSpot | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Contact Attribute (standard) | Contact Property1:1 | Fully supported | |
| Contact Attribute (custom) | Custom Contact Property1:1 | Fully supported | |
| Event (call) | Engagement (call logged on Contact timeline)1:1 | Fully supported | |
| Event (sms) | Engagement (logged on Contact timeline)1:1 | Fully supported | |
| Event (custom event type) | Custom Behavioral Event1:1 | Fully supported | |
| Company data in Regal (company_name attribute) | Company1:1 | Fully supported | |
| Regal call recording URL | HubSpot File attachment1:1 | Fully supported | |
| Owner / Agent data | HubSpot User1:1 | Fully supported | |
| AI agent journey configuration | HubSpot workflow (to be rebuilt)1:1 | Fully supported | |
| SMS template configuration | HubSpot sequence / workflow (to be rebuilt)1:1 | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
Regal.io gotchas
Regal API is a single-events endpoint
AI Agent scripts and decision trees are non-exportable
No public pricing or documented tier limits
Contact contactability status is phone-number-dependent
HubSpot gotchas
Marketing Contacts billing model is migration-critical
Feature tier gating is not visible until onboarding
Mandatory onboarding fees inflate year-one cost
HubSpot CSV importer cannot migrate engagements or attachments
Custom objects require Enterprise and a pre-existing schema
Pair-specific challenges
Migration approach
Audit Regal's data model via API and export all contact, attribute, and event records
FlitStack connects to Regal's API (https://events.regalvoice.com/events) using scoped read credentials. We export all Contacts, their Contact Attributes (standard and custom), and all Events by type (call, sms, and custom event types). The export is validated for record counts, attribute completeness, and event property schema consistency. We flag any contacts with missing email addresses (required for HubSpot Contact import) and any event records with malformed timestamps for data quality remediation before the mapping phase begins.
Define HubSpot custom properties and Company deduplication rules
Before any data is imported into HubSpot, FlitStack creates the custom properties required for Regal's custom Contact Attributes and Event Properties that have no native HubSpot field. We also configure the Company deduplication logic — domain-based matching where domain is available, company_name string matching as a fallback — and deliver a Company deduplication plan for your HubSpot admin to approve. This step ensures the HubSpot schema is ready before any Contact records land.
Import Companies first, then Contacts, then log engagement history on the Contact timeline
HubSpot requires Company records to exist before Contacts can associate to them via Associated Company. FlitStack sequences the migration: (1) unique company_name values are extracted, deduplicated, and imported as HubSpot Company records, (2) Contacts are imported with their primary company association resolved via domain match or your specified rule, (3) all call, SMS, and custom event history is logged as HubSpot engagement records on each Contact's timeline with Event Properties mapped to custom properties. Owner resolution happens at this step — Regal agent IDs are matched by email to HubSpot Users and unassigned records are flagged.
Run a sample migration of 100–500 contacts with field-level diff and event reconciliation
A representative slice of Regal contacts — spanning different attribute sets, event volumes, and company associations — migrates into HubSpot under a test run. FlitStack generates a field-level diff comparing source values against destination values for every mapped property and event engagement. You verify that custom Contact Attributes landed in the correct HubSpot custom properties, call outcomes mapped to the right pick-list values, and call recordings attached correctly. The diff report is shared before the full migration is scheduled.
Execute full migration with delta-pickup window and audit log
The full Regal dataset migrates into HubSpot with FlitStack's scoped read access — your team continues working in Regal throughout the cutover. A 24–48 hour delta-pickup window captures any Regal contacts created or modified during the migration run. FlitStack generates an audit log of every record imported, every property mapped, and every engagement logged. One-click rollback reverts all imported records if post-migration reconciliation reveals a mapping error. Call recordings are uploaded in parallel to minimize total cutover time.
Platform deep dives
Regal.io
Source
Strengths
Weaknesses
HubSpot
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Regal.io and HubSpot.
Object compatibility
1 of 8 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
Regal.io: 300 requests per second.
Data volume sensitivity
Regal.io doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
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